binaryA-methods: binary heatmap for standardized feature matrix

In CoGAPS: Coordinated Gene Activity in Pattern Sets

Description

creates a binarized heatmap of the A matrix in which the value is 1 if the value in Amean is greater than threshold * Asd and 0 otherwise

Usage

binaryA(object, threshold = 3)

## S4 method for signature 'CogapsResult'
binaryA(object, threshold = 3)

Arguments

object	an object of type CogapsResult
threshold	the number of standard deviations above zero that an element of Amean must be to get a value of 1

Value

plots a heatmap of the A Matrix

Examples

data(GIST)
# to expensive to call since it plots
# binaryA(GIST.result, threshold=3)

Example output

Loading required package: Rcpp

Attaching package: 'CoGAPS'

The following object is masked from 'package:stats':

    residuals

Warning message:
In data(GIST) : data set 'GIST' not found

CoGAPS documentation built on Nov. 8, 2020, 5:02 p.m.